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Proceedings Paper

Neural expert decision support system for stroke diagnosis
Author(s): Leonid M. Kupershtein; Tatiana B. Martyniuk; Myhail D. Krencin; Andriy V. Kozhemiako; Yurii Bezsmertnyi; Halyna Bezsmertna; Maksat Kolimoldayev; Andrzej Smolarz; Róża Weryńska-Bieniasz; Svetlana Uvaysova
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Paper Abstract

In the work the hybrid expert system for stroke diagnosis was presented. The base of expert system consists of neural network and production rules. This program can quickly and accurately set to the patient preliminary and final diagnoses, get examination and treatment plans, print data of patient, analyze statistics data and perform parameterized search for patients.

Paper Details

Date Published: 7 August 2017
PDF: 6 pages
Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104453I (7 August 2017); doi: 10.1117/12.2280956
Show Author Affiliations
Leonid M. Kupershtein, Vinnytsia National Technical Univ. (Ukraine)
Tatiana B. Martyniuk, Vinnytsia National Technical Univ. (Ukraine)
Myhail D. Krencin, Vinnytsia National Technical Univ. (Ukraine)
Andriy V. Kozhemiako, Vinnytsia National Technical Univ. (Ukraine)
Yurii Bezsmertnyi, Vinnytsia National Medical Univ. (Ukraine)
Halyna Bezsmertna, Vinnytsia National Medical Univ. (Ukraine)
Maksat Kolimoldayev, Institute of Information and Computational Technologies (Kazakhstan)
Andrzej Smolarz, Lublin Univ. of Technology (Poland)
Róża Weryńska-Bieniasz, State Higher School of Technology and Economics in Jarosław (Poland)
Svetlana Uvaysova, National Research Univ. Higher School of Economics (Russian Federation)


Published in SPIE Proceedings Vol. 10445:
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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